Across the full sample, students receiving the ASSISTments intervention performed comparably to their virtual comparison peers on end-of-year MAP Growth¶
Claim · All claims
Evidence · 1 study · causalr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Treatment students and the virtual comparison group did not differ significantly on end-of-year MAP Growth scores after controlling for baseline performance and covariates (p = 0.172). → Feng 2025
Evidence¶
Feng 2025¶
Feng, M., Li, L., Brezack, N., & Schneider, M. (2025). Scaling teachers' professional development for ASSISTments companion report: Implementation analysis of the ASSISTments intervention. WestEd. https://eric.ed.gov/?id=ED677784
q2 · i? · causal · r2
Quasi-experimental national study comparing 2,855 treatment students with a matched virtual comparison group built from the NWEA national database. End-of-year means were 223.95 versus 223.28, "a score difference of less than one point (0.67)"; equivalence was not tested.
"Across the full sample, treatment students and those in the VCG did not differ significantly on their end-of-year MAP Growth test scores after controlling for students' baseline math performance and student- and school-level covariates (p = 0.172; Figure 1)."
Discussion¶
Related Claims¶
- vPLC-augmented ASSISTments did not significantly improve overall middle school math achievement relative to a virtual comparison group — possibly the same claim (merge candidate)
- Students with lower baseline performance (below the 50th percentile) showed significantly greater math achievement gains with ASSISTments than matched virtual peers — related
- Achievement-quartile analysis shows the intervention was most effective for students in the 2nd quartile (25th–50th percentiles) of baseline achievement — related
- The vPLC-augmented ASSISTments treatment sample comprised 59 teachers and 2,855 students in grades 6-8 from 36 public schools across 24 U.S. states, half in rural areas — related
- A virtual comparison group matched on pretest, locale, FRL, and test dates achieved baseline equivalence with the treatment group (effect size = -0.03) — related
- Baseline equivalence held between conditions, but both groups scored far below the grade 8 proficiency cut score — related
- In the full-sample analysis, baseline demographic and prior-achievement differences between treatment and matched comparison groups were minimal, with effect sizes below the WWC threshold — related
- Low-performing students (below the 50th pretest percentile) showed significant improvement with vPLC-augmented ASSISTments — related
- Rural students in the 2nd baseline achievement quartile significantly outperformed their comparison peers by 1.53 points — related
- Catapult Learning Wraparound SES significantly improves middle school math achievement (ES +0.21) — related
- Propensity score matching produced baseline-equivalent treatment and comparison groups on all measured variables — related
- Both treatment and comparison students scored below the 7th-grade national norm on average, and bottom-quartile treatment students remained below the national average despite relative gains — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
assistments-full-sample-no-significant-effect |
title |
Across the full sample, students receiving the ASSISTments intervention performed comparably to their virtual comparison peers on end-of-year MAP Growth |
description |
Across the full sample, students receiving the ASSISTments intervention performed comparably to their virtual comparison peers on end-of-year MAP Growth |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — feng-2025 |
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